nonlinear-optimization: Various iterative algorithms for optimization of nonlinear functions.
This library implements numerical algorithms to optimize nonlinear functions. Optimization means that we try to find a minimum of the function. Currently all algorithms guarantee only that local minima will be found, not global ones.
Almost any continuosly differentiable function f : R^n -> R
may be optimized by this library. Any further restrictions
are listed in the modules that need them.
We use the vector package to represent vectors and
matrices, although it would be possible to use something like
hmatrix easily.
Currently only CG_DESCENT method is implemented.
Flags
Automatic Flags
| Name | Description | Default |
|---|---|---|
| debug | Enable some debug statements. | Disabled |
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
Downloads
- nonlinear-optimization-0.3.3.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
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| Versions [RSS] | 0.1, 0.2, 0.3, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.5, 0.3.5.1, 0.3.5.2, 0.3.6, 0.3.7, 0.3.8, 0.3.9, 0.3.10, 0.3.11, 0.3.12, 0.3.12.1 |
|---|---|
| Dependencies | base (>=3 && <5), primitive (>=0.2 && <0.4), vector (>=0.5 && <0.7) [details] |
| License | LicenseRef-GPL |
| Copyright | (c) 2010 Felipe A. Lessa and William W. Hager |
| Author | Felipe A. Lessa (Haskell code), William W. Hager and Hongchao Zhang (CM_DESCENT code). |
| Maintainer | Felipe A. Lessa <felipe.lessa@gmail.com> |
| Category | Math |
| Uploaded | by FelipeLessa at 2010-07-19T04:34:33Z |
| Distributions | |
| Reverse Dependencies | 9 direct, 4 indirect [details] |
| Downloads | 12739 total (33 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs uploaded by user Build status unknown [no reports yet] |